Keywords
Optical fiber sensor
Artificial neural networks
How to Cite
Abstract
Force myography (FMG) is the mechanical counterpart of the surface electromyography, providing a low-cost and straightforward alternative for tracking the hand movements in applications related to rehabilitation and robotics. This project proposes the development of a modularized and scalable algorithm for classification of hand postures based on the FMG signals measured by an optical fiber sensor, with artificial neural networks design and implementation in embeeded system.
References
Taşar, B. et. al.; EMG-Controlled Prosthetic Hand with Fuzzy Logic Classification Algorithm, Modern Fuzzy Control Systems and Its Applications, IntechOpen, 2017.
Fujiwara, E.; Suzuki, C. K.; Journal of Sensors, 2018.
Rodriguez, J. D.; Perez, A.; Lozano, J. A.; IEEE Trans. Pattern Anal. Machine Intell., vol. 32, no. 3, pp. 569-575, 2010.
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